| 上市公司综合经济效益比较的神经网络方法 |
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| 引用本文： | 张志勇,毛定祥.上市公司综合经济效益比较的神经网络方法[J].上海大学学报(自然科学版),1999,5(6):523-526. |
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| 作者姓名： | 张志勇 毛定祥 |
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| 作者单位： | 上海大学国际工商与管理学院,上海,200072 |
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| 摘 要： | 上市公司综合经济效益排序是个多指标比较问题.作者提出一种基于人工神经网络的方法,通过学习、推理确定权重,较好地揭示样本各指标间的关系,从而对样本进行综合比较和排序;并通过网络的推理求出各指标对总权重所作出的贡献.
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| 关 键 词： | 神经网络 排序 权重 |
| 文章编号： | 1007-2861(1999)06-0523-04 |
| 修稿时间： | 1999年5月26日 |
A Neural-Network-Based Approach to Comparing Synthetic Economic Benefits of Stock Companies |
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| ZHANG Zhi yong,MAO Ding xiang.A Neural-Network-Based Approach to Comparing Synthetic Economic Benefits of Stock Companies[J].Journal of Shanghai University(Natural Science),1999,5(6):523-526. |
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| Authors: | ZHANG Zhi yong MAO Ding xiang |
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| Abstract: | Ordering the synthetic economic benefits of stock companies consists of a system of comparing multiple indices. This paper suggests a method based on artificial neural network. The weights of indices can be obtained and the relationships of indexes can be revealed by identification and inference of the relevant knowledge, thus the order of stock companies can be determined. The devotes to weights by indexes can be shown by inference. |
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| Keywords: | neural network ordering weight |
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